A unified framework for machine learning with time series

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A toolkit for machine learning from time series

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.

A toolkit for time series machine learning algorithms.

Collection of my Time series Analysis Projects

This repository contains files and scripts to build a sales forecasting Telegram Bot for a pharmacy chain. The purpose of this project is to quickly and easily provide a revenue estimate in order to assist the CEO in decision making. (Project Data Science in Production / DS Community)

Time Series Regression Models

Basic cryptocurrency price prediction using Axon, Elixir's primary deep learning utility.

Case study of a time-series regression task for 24h wind forecasting. Investigation of OLS, XGB and MLP applications.

Generalization of the Prais Winsten estimator for AR time series of arbitrary order